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A Decision Tool based on a Multi-Objective Methodology for designing High-Pressure Thermal Treatments in Food Industry

Miriam R. Ferrández (mrferrandez***at***ual.es)
Juana L. Redondo (jlredondo***at***ual.es)
Benjamin Ivorra (ivorra***at***mat.ucm.es)
Ángel M. Ramos (angel***at***mat.ucm.es)
Pilar M. Ortigosa (ortigosa***at***ual.es)

Abstract: In this work, we propose a methodology for designing High-Pressure Thermal processes for food treatment. This approach is based on a multi-objective preference-based evolutionary optimization algorithm, called WASF-GA, combined with a decision strategy which provides the food engineer with the best treatment in accordance with some quality requirements. The resulting method is compared to a mono-objective optimization algorithm called MLS-GA. To do so, we consider several particular mono-objective and multi-objective optimization problems. Then, considering those cases, we determine an adequate set of parameters for the WASF-GA and the MLS-GA algorithms in order to obtain a reasonable compromise between solution quality and computational time. Next, we compare the results obtained by the WASF-GA and MLS-GA. Additionally, the best solutions returned by the WASF-GA are analyzed from a food engineering point of view. Finally, a sensitivity analysis regarding the impact of design parameters on the performances of those solutions is performed.

Keywords: Decision Support System, Genetic Algorithms, Metaheuristics, Food Industry, High-Pressure

Category 1: Applications -- Science and Engineering (Optimization of Systems modeled by PDEs )

Category 2: Combinatorial Optimization (Meta Heuristics )

Category 3: Nonlinear Optimization (Systems governed by Differential Equations Optimization )

Citation: Miriam R. Ferrández, Juana L. Redondo, Benjamin Ivorra, Ángel M. Ramos, Pilar M. Ortigosa. A Decision Tool based on a Multi-Objective Methodology for designing High-Pressure Thermal Treatments in Food Industry. Preprint version. September, 2017.

Download: [PDF]

Entry Submitted: 02/01/2018
Entry Accepted: 02/01/2018
Entry Last Modified: 02/01/2018

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